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Network Complexity Models for Automated Cyber Range Security Capability Evaluations

Authors:
Thomas Klemas
Lee Rossey

Keywords: Network; network complexity; network theory, graph theory; degree; connectivity; connectance; centrality; degree centrality; hyper-edge; hypergraph; information theory, eigen decomposition; eigen vector; eigen value; eigen centrality; Bonacich centrality;

Abstract:
For any organization to maintain a strong cyber security posture, it is important to test readiness and capabilities of cyber security teams and the tools that they use. In order to design and conduct experiments to assess performance of defensive cyber security teams and tools, it is crucial to either ensure the test range accurately represents the real environment in which the defensive teams or tools normally would operate or to ensure that testing is conducted across a suite of test ranges that provides comprehensive coverage of the potential real-life network environments. In this paper, we present a novel network complexity scoring framework that is designed to capture the set of the network attributes that have the principal impact on the performance of defenders and defensive tools and to differentiate networks according to defensive difficulty.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2519-8599

ISBN: 978-1-61208-512-8

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016